Evidence map›Paper›PMID 40692520›Full record

ArticleSmall methods2025

Metalens-Based Dual Light-Sheet Fluorescence Microscopy.

Yuan Luo, Chun-Chun Chang, Hung-Chuan Hsu, Bo-Wei Huang, Sunil Vyas, S-Ja Tseng, Cheng Hung Chu, Takuo Tanaka, Kuang-Yuh Huang, Din Ping Tsai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yuan LuoInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0000-0001-9776-7897
Chun-Chun ChangInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0009-0003-9794-6870
Hung-Chuan HsuInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0009-0007-2414-733X
Bo-Wei HuangInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0009-0000-6773-3063
Sunil VyasInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0000-0003-1787-6562
S-Ja TsengYongLin Institute of Health, National Taiwan University, Taipei, 10672, Taiwan.ORCID https://orcid.org/0000-0002-1299-7202
Cheng Hung ChuInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0000-0002-8749-3930
Takuo TanakaInnovative Photon Manipulation Research Team, RIKEN Center for Advanced Photonics, Saitama, 351-0198, Japan.ORCID https://orcid.org/0000-0001-5714-5401
Kuang-Yuh HuangInstitute of Medical Device and Imaging, National Taiwan University, Taipei, 10051, Taiwan.ORCID https://orcid.org/0000-0002-2981-4986
Din Ping TsaiDepartment of Electrical Engineering, City University of Hong Kong, Kowloon, 999077, Hong Kong.ORCID https://orcid.org/0000-0002-0883-9906

Funding

City University of Hong Kong 9380131Fitipower Integrated Technology Inc., Taiwan, R.O.C. 113H1010-C01National Health Research Institutes, Taiwan, R.O.C. NHRI-EX113-11327EINational Health Research Institutes, Taiwan, R.O.C. NHRI-EX114-11327EINational Natural Science Foundation of China 62375232National Science and Technology Council, Taiwan, R.O.C. NSTC112-2221-E-002-055-MY3;NSTC112-2221-E-002-212-MY3National Taiwan University, Taiwan, R.O.C. NTU-113L8507National Taiwan University, Taiwan, R.O.C. NTU-CC-112L892902National Taiwan University, Taiwan, R.O.C. NTU-CC-113L891102Powerchip Semiconductor Manufacturing Corporation, Taiwan, R.O.C. 114H1004-C15University Grants Committee/Research Grants Council of the Hong Kong Special Administrative Region, China AoE/P-502/20University Grants Committee/Research Grants Council of the Hong Kong Special Administrative Region, China C5031-22G;C5078-24GUniversity Grants Committee/Research Grants Council of the Hong Kong Special Administrative Region, China CityU11305223;CityU11300224;CityU11304925;CityU11305125
6 · The paper itself

Abstract

Light-sheet fluorescence microscopy (LSFM) provides optically sectioned fluorescence images with excellent background rejection for rapid and volumetric imaging. However, traditional LSFM typically relies on single-sided illumination and the stripe artifacts due to partial obstruction or scattering of the illumination beam, resulting in the formation of shadow artifacts. Uneven illumination, particularly in non-transparent samples, results in poor contrast in certain regions of the image and reduces image uniformity. To address this problem in compact fashion, a metalens-based dual-sided illumination LSFM (MDI-LSFM) is presented, which utilizes twin light-sheets for uniform sample illumination. This is achieved by the integration of a pair of cylindrical metalenses in LSFM, forming two identical light-sheets from opposite sides of the sample. Through a rigorous experimental setup, the system-level structure optimization of MDI-LSFM is successfully demonstrated to form an engineering extension by observing ex vivo images of mice lung tissues, achieving a lateral resolution of 1.7 µm with optical sectioning capability of 6.8 µm. The approach eliminates shadow artifacts and simplifies system configuration by replacing bulky optics with compact, efficient metalenses, while achieving a large field of view, high resolution, and fast imaging. These advantages enable wide-ranging biomedical applications for in situ tissue imaging and diagnostics.

Indexed as

Microscopy, FluorescenceAnimalsLungMicedual‐sided illuminationfluorescence imageslight‐sheet fluorescence microscopymetalensmice lung tissues

Identifiers

PMID40692520
PMCPMC12464795

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.